Listar por tema "Decentralized learning"
Mostrando ítems 1-2 de 2
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An explainable semi-personalized federated learning model
(2022)Training a model using batch learning requires uniform data storage in a repository. This approach is intrusive, as users have to expose their privacy and exchange sensitive data by sending them to central entities to be ... -
Reduction of collisions and regret in time sharing schemes for opportunistic spectrum access
(2017)We examine decentralized learning and access algorithms for opportunistic spectrum access with multiple users. Several distributed algorithms have been proposed for this problem, mainly as an application of corresponding ...